Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	1452
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	972.1 KiB
Average record size in memory	685.6 B

Variable types

Numeric	8
Categorical	6
Boolean	4

Warnings

`df_index` is highly correlated with `housing` and 5 other fields	High correlation
`housing` is highly correlated with `df_index` and 2 other fields	High correlation
`poutcome` is highly correlated with `df_index` and 2 other fields	High correlation
`duration` is highly correlated with `subscribed`	High correlation
`job` is highly correlated with `age` and 1 other fields	High correlation
`age` is highly correlated with `job` and 1 other fields	High correlation
`day` is highly correlated with `df_index` and 3 other fields	High correlation
`subscribed` is highly correlated with `df_index` and 5 other fields	High correlation
`month` is highly correlated with `df_index` and 4 other fields	High correlation
`marital` is highly correlated with `age`	High correlation
`education` is highly correlated with `job`	High correlation
`pdays` is highly correlated with `df_index` and 1 other fields	High correlation
`subscribed` is highly correlated with `month` and 2 other fields	High correlation
`month` is highly correlated with `subscribed` and 1 other fields	High correlation
`housing` is highly correlated with `subscribed`	High correlation
`education` is highly correlated with `job`	High correlation
`poutcome` is highly correlated with `subscribed` and 1 other fields	High correlation
`job` is highly correlated with `education`	High correlation
`df_index` has unique values	Unique
`balance` has 67 (4.6%) zeros	Zeros

Reproduction

Analysis started	2022-03-27 04:44:28.444860
Analysis finished	2022-03-27 04:44:31.844865
Duration	3.4 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	1452
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	905.9566116

Minimum	0
Maximum	1965
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	0
5-th percentile	74.55
Q1	372.75
median	760.5
Q3	1454.25
95-th percentile	1887.45
Maximum	1965
Range	1965
Interquartile range (IQR)	1081.5

Descriptive statistics

Standard deviation	599.5776082
Coefficient of variation (CV)	0.661817134
Kurtosis	-1.305319949
Mean	905.9566116
Median Absolute Deviation (MAD)	513
Skewness	0.2103893999
Sum	1315449
Variance	359493.3082
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.1%
1279	1	0.1%
1277	1	0.1%
1276	1	0.1%
1275	1	0.1%
1274	1	0.1%
1273	1	0.1%
1272	1	0.1%
1271	1	0.1%
1269	1	0.1%
Other values (1442)	1442	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%

Value	Count	Frequency (%)
1965	1	0.1%
1964	1	0.1%
1963	1	0.1%
1962	1	0.1%
1961	1	0.1%
1960	1	0.1%
1959	1	0.1%
1958	1	0.1%
1957	1	0.1%
1956	1	0.1%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	64
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.20454545

Minimum	19
Maximum	86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	19
5-th percentile	27
Q1	33
median	39
Q3	51
95-th percentile	64
Maximum	86
Range	67
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	12.33408846
Coefficient of variation (CV)	0.2922454993
Kurtosis	0.2473494214
Mean	42.20454545
Median Absolute Deviation (MAD)	8
Skewness	0.8168498292
Sum	61281
Variance	152.1297381
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33	72	5.0%
35	71	4.9%
31	66	4.5%
37	64	4.4%
34	62	4.3%
32	54	3.7%
36	54	3.7%
38	50	3.4%
30	45	3.1%
29	42	2.9%
Other values (54)	872	60.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	2	0.1%
21	2	0.1%
22	11	0.8%
23	8	0.6%
24	10	0.7%
25	10	0.7%
26	23	1.6%
27	28	1.9%
28	38	2.6%
29	42	2.9%

Value	Count	Frequency (%)
86	1	0.1%
84	2	0.1%
82	3	0.2%
81	1	0.1%
80	6	0.4%
79	1	0.1%
78	1	0.1%
77	6	0.4%
75	6	0.4%
74	5	0.3%

job
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	94.1 KiB

management	351
technician	258
blue-collar	212
admin.	183
retired	118
Other values (6)	330

Length

Max length	13
Median length	10
Mean length	9.257575758
Min length	6

Characters and Unicode

Total characters	13442
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	technician
2nd row	technician
3rd row	retired
4th row	blue-collar
5th row	retired

Common Values

Value	Count	Frequency (%)
management	351	24.2%
technician	258	17.8%
blue-collar	212	14.6%
admin.	183	12.6%
retired	118	8.1%
services	117	8.1%
unemployed	54	3.7%
student	51	3.5%
self-employed	48	3.3%
entrepreneur	33	2.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
management	351	24.2%
technician	258	17.8%
blue-collar	212	14.6%
admin	183	12.6%
retired	118	8.1%
services	117	8.1%
unemployed	54	3.7%
student	51	3.5%
self-employed	48	3.3%
entrepreneur	33	2.3%

Most occurring characters

Value	Count	Frequency (%)
e	2104	15.7%
n	1572	11.7%
a	1382	10.3%
m	1014	7.5%
i	961	7.1%
t	862	6.4%
c	845	6.3%
l	786	5.8%
r	664	4.9%
d	481	3.6%
Other values (12)	2771	20.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12999	96.7%
Dash Punctuation	260	1.9%
Other Punctuation	183	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2104	16.2%
n	1572	12.1%
a	1382	10.6%
m	1014	7.8%
i	961	7.4%
t	862	6.6%
c	845	6.5%
l	786	6.0%
r	664	5.1%
d	481	3.7%
Other values (10)	2328	17.9%

Dash Punctuation

Value	Count	Frequency (%)
-	260	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	183	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12999	96.7%
Common	443	3.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2104	16.2%
n	1572	12.1%
a	1382	10.6%
m	1014	7.8%
i	961	7.4%
t	862	6.6%
c	845	6.5%
l	786	6.0%
r	664	5.1%
d	481	3.7%
Other values (10)	2328	17.9%

Common

Value	Count	Frequency (%)
-	260	58.7%
.	183	41.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13442	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2104	15.7%
n	1572	11.7%
a	1382	10.3%
m	1014	7.5%
i	961	7.1%
t	862	6.4%
c	845	6.3%
l	786	5.8%
r	664	4.9%
d	481	3.6%
Other values (12)	2771	20.6%

marital
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	90.6 KiB

married	837
single	454
divorced	161

Length

Max length	8
Median length	7
Mean length	6.798209366
Min length	6

Characters and Unicode

Total characters	9871
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	single
2nd row	divorced
3rd row	married
4th row	married
5th row	married

Common Values

Value	Count	Frequency (%)
married	837	57.6%
single	454	31.3%
divorced	161	11.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
married	837	57.6%
single	454	31.3%
divorced	161	11.1%

Most occurring characters

Value	Count	Frequency (%)
r	1835	18.6%
i	1452	14.7%
e	1452	14.7%
d	1159	11.7%
m	837	8.5%
a	837	8.5%
s	454	4.6%
n	454	4.6%
g	454	4.6%
l	454	4.6%
Other values (3)	483	4.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9871	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	1835	18.6%
i	1452	14.7%
e	1452	14.7%
d	1159	11.7%
m	837	8.5%
a	837	8.5%
s	454	4.6%
n	454	4.6%
g	454	4.6%
l	454	4.6%
Other values (3)	483	4.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9871	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	1835	18.6%
i	1452	14.7%
e	1452	14.7%
d	1159	11.7%
m	837	8.5%
a	837	8.5%
s	454	4.6%
n	454	4.6%
g	454	4.6%
l	454	4.6%
Other values (3)	483	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9871	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	1835	18.6%
i	1452	14.7%
e	1452	14.7%
d	1159	11.7%
m	837	8.5%
a	837	8.5%
s	454	4.6%
n	454	4.6%
g	454	4.6%
l	454	4.6%
Other values (3)	483	4.9%

education
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	92.9 KiB

secondary	770
tertiary	526
primary	156

Length

Max length	9
Median length	9
Mean length	8.422865014
Min length	7

Characters and Unicode

Total characters	12230
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	tertiary
2nd row	secondary
3rd row	secondary
4th row	secondary
5th row	secondary

Common Values

Value	Count	Frequency (%)
secondary	770	53.0%
tertiary	526	36.2%
primary	156	10.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
secondary	770	53.0%
tertiary	526	36.2%
primary	156	10.7%

Most occurring characters

Value	Count	Frequency (%)
r	2134	17.4%
a	1452	11.9%
y	1452	11.9%
e	1296	10.6%
t	1052	8.6%
s	770	6.3%
c	770	6.3%
o	770	6.3%
n	770	6.3%
d	770	6.3%
Other values (3)	994	8.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12230	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	2134	17.4%
a	1452	11.9%
y	1452	11.9%
e	1296	10.6%
t	1052	8.6%
s	770	6.3%
c	770	6.3%
o	770	6.3%
n	770	6.3%
d	770	6.3%
Other values (3)	994	8.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12230	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	2134	17.4%
a	1452	11.9%
y	1452	11.9%
e	1296	10.6%
t	1052	8.6%
s	770	6.3%
c	770	6.3%
o	770	6.3%
n	770	6.3%
d	770	6.3%
Other values (3)	994	8.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12230	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	2134	17.4%
a	1452	11.9%
y	1452	11.9%
e	1296	10.6%
t	1052	8.6%
s	770	6.3%
c	770	6.3%
o	770	6.3%
n	770	6.3%
d	770	6.3%
Other values (3)	994	8.1%

default
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

False	1442
True	10

Common Values
Chart

Value	Count	Frequency (%)
False	1442	99.3%
True	10	0.7%

balance
Real number (ℝ)

ZEROS

Distinct	1014
Distinct (%)	69.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1462.069559

Minimum	-980
Maximum	81204
Zeros	67
Zeros (%)	4.6%
Negative	69
Negative (%)	4.8%
Memory size	11.5 KiB

Quantile statistics

Minimum	-980
5-th percentile	0
Q1	208.75
median	558.5
Q3	1659.5
95-th percentile	5129.55
Maximum	81204
Range	82184
Interquartile range (IQR)	1450.75

Descriptive statistics

Standard deviation	3346.727232
Coefficient of variation (CV)	2.289034205
Kurtosis	237.1405251
Mean	1462.069559
Median Absolute Deviation (MAD)	489.5
Skewness	11.91488485
Sum	2122925
Variance	11200583.16
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	67	4.6%
272	8	0.6%
1	5	0.3%
393	5	0.3%
303	5	0.3%
392	4	0.3%
488	4	0.3%
655	4	0.3%
228	4	0.3%
105	4	0.3%
Other values (1004)	1342	92.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-980	1	0.1%
-735	1	0.1%
-676	1	0.1%
-557	1	0.1%
-535	1	0.1%
-528	1	0.1%
-498	1	0.1%
-464	1	0.1%
-435	1	0.1%
-421	1	0.1%

Value	Count	Frequency (%)
81204	1	0.1%
29340	1	0.1%
29080	1	0.1%
27696	2	0.1%
26306	1	0.1%
20727	1	0.1%
17946	1	0.1%
16992	1	0.1%
16957	1	0.1%
15341	1	0.1%

housing
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

True	733
False	719

Common Values
Chart

Value	Count	Frequency (%)
True	733	50.5%
False	719	49.5%

loan
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

False	1238
True	214

Common Values
Chart

Value	Count	Frequency (%)
False	1238	85.3%
True	214	14.7%

contact
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	92.4 KiB

cellular	1344
telephone	108

Length

Max length	9
Median length	8
Mean length	8.074380165
Min length	8

Characters and Unicode

Total characters	11724
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	cellular
2nd row	cellular
3rd row	cellular
4th row	cellular
5th row	cellular

Common Values

Value	Count	Frequency (%)
cellular	1344	92.6%
telephone	108	7.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
cellular	1344	92.6%
telephone	108	7.4%

Most occurring characters

Value	Count	Frequency (%)
l	4140	35.3%
e	1668	14.2%
c	1344	11.5%
u	1344	11.5%
a	1344	11.5%
r	1344	11.5%
t	108	0.9%
p	108	0.9%
h	108	0.9%
o	108	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11724	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	4140	35.3%
e	1668	14.2%
c	1344	11.5%
u	1344	11.5%
a	1344	11.5%
r	1344	11.5%
t	108	0.9%
p	108	0.9%
h	108	0.9%
o	108	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11724	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	4140	35.3%
e	1668	14.2%
c	1344	11.5%
u	1344	11.5%
a	1344	11.5%
r	1344	11.5%
t	108	0.9%
p	108	0.9%
h	108	0.9%
o	108	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11724	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	4140	35.3%
e	1668	14.2%
c	1344	11.5%
u	1344	11.5%
a	1344	11.5%
r	1344	11.5%
t	108	0.9%
p	108	0.9%
h	108	0.9%
o	108	0.9%

day
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	31
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.1184573

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	13
Q3	25
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	10.21740334
Coefficient of variation (CV)	0.7236912025
Kurtosis	-1.437089309
Mean	14.1184573
Median Absolute Deviation (MAD)	9
Skewness	0.304773524
Sum	20500
Variance	104.395331
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
29	164	11.3%
2	141	9.7%
4	138	9.5%
3	88	6.1%
5	81	5.6%
28	74	5.1%
6	70	4.8%
30	58	4.0%
13	52	3.6%
17	50	3.4%
Other values (21)	536	36.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	34	2.3%
2	141	9.7%
3	88	6.1%
4	138	9.5%
5	81	5.6%
6	70	4.8%
7	12	0.8%
8	20	1.4%
9	49	3.4%
10	23	1.6%

Value	Count	Frequency (%)
31	7	0.5%
30	58	4.0%
29	164	11.3%
28	74	5.1%
27	21	1.4%
26	25	1.7%
25	20	1.4%
24	16	1.1%
23	21	1.4%
22	25	1.7%

month
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	85.2 KiB

feb	388
jan	228
apr	144
may	123
jul	105
Other values (7)	464

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4356
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	apr
2nd row	apr
3rd row	apr
4th row	apr
5th row	apr

Common Values

Value	Count	Frequency (%)
feb	388	26.7%
jan	228	15.7%
apr	144	9.9%
may	123	8.5%
jul	105	7.2%
aug	98	6.7%
sep	93	6.4%
jun	67	4.6%
oct	65	4.5%
nov	53	3.7%
Other values (2)	88	6.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
feb	388	26.7%
jan	228	15.7%
apr	144	9.9%
may	123	8.5%
jul	105	7.2%
aug	98	6.7%
sep	93	6.4%
jun	67	4.6%
oct	65	4.5%
nov	53	3.7%
Other values (2)	88	6.1%

Most occurring characters

Value	Count	Frequency (%)
a	642	14.7%
e	520	11.9%
j	400	9.2%
f	388	8.9%
b	388	8.9%
n	348	8.0%
u	270	6.2%
p	237	5.4%
r	193	4.4%
m	172	3.9%
Other values (9)	798	18.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4356	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	642	14.7%
e	520	11.9%
j	400	9.2%
f	388	8.9%
b	388	8.9%
n	348	8.0%
u	270	6.2%
p	237	5.4%
r	193	4.4%
m	172	3.9%
Other values (9)	798	18.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4356	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	642	14.7%
e	520	11.9%
j	400	9.2%
f	388	8.9%
b	388	8.9%
n	348	8.0%
u	270	6.2%
p	237	5.4%
r	193	4.4%
m	172	3.9%
Other values (9)	798	18.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4356	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	642	14.7%
e	520	11.9%
j	400	9.2%
f	388	8.9%
b	388	8.9%
n	348	8.0%
u	270	6.2%
p	237	5.4%
r	193	4.4%
m	172	3.9%
Other values (9)	798	18.3%

duration
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	570
Distinct (%)	39.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	276.6336088

Minimum	7
Maximum	1823
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	7
5-th percentile	58.55
Q1	135
median	224.5
Q3	356
95-th percentile	674.9
Maximum	1823
Range	1816
Interquartile range (IQR)	221

Descriptive statistics

Standard deviation	208.1655544
Coefficient of variation (CV)	0.7524955313
Kurtosis	6.067811471
Mean	276.6336088
Median Absolute Deviation (MAD)	103.5
Skewness	1.98096399
Sum	401672
Variance	43332.89806
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	10	0.7%
200	10	0.7%
150	10	0.7%
187	9	0.6%
121	8	0.6%
236	8	0.6%
164	8	0.6%
124	8	0.6%
75	8	0.6%
89	8	0.6%
Other values (560)	1365	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	2	0.1%
8	2	0.1%
9	1	0.1%
12	1	0.1%
13	1	0.1%
15	1	0.1%
16	2	0.1%
17	1	0.1%
20	1	0.1%
21	1	0.1%

Value	Count	Frequency (%)
1823	1	0.1%
1472	1	0.1%
1405	1	0.1%
1207	1	0.1%
1205	1	0.1%
1193	1	0.1%
1178	1	0.1%
1176	1	0.1%
1160	1	0.1%
1156	1	0.1%

campaign
Real number (ℝ_≥0)

Distinct	11
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.943526171

Minimum	1
Maximum	11
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	5
Maximum	11
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.407709683
Coefficient of variation (CV)	0.7243070374
Kurtosis	5.969865496
Mean	1.943526171
Median Absolute Deviation (MAD)	0
Skewness	2.196232061
Sum	2822
Variance	1.981646551
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	755	52.0%
2	379	26.1%
3	154	10.6%
4	72	5.0%
5	39	2.7%
6	28	1.9%
7	14	1.0%
9	5	0.3%
8	4	0.3%
10	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	755	52.0%
2	379	26.1%
3	154	10.6%
4	72	5.0%
5	39	2.7%
6	28	1.9%
7	14	1.0%
8	4	0.3%
9	5	0.3%
10	1	0.1%

Value	Count	Frequency (%)
11	1	0.1%
10	1	0.1%
9	5	0.3%
8	4	0.3%
7	14	1.0%
6	28	1.9%
5	39	2.7%
4	72	5.0%
3	154	10.6%
2	379	26.1%

pdays
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	350
Distinct (%)	24.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	217.3663912

Minimum	1
Maximum	854
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	88
Q1	177
median	199
Q3	261
95-th percentile	407.9
Maximum	854
Range	853
Interquartile range (IQR)	84

Descriptive statistics

Standard deviation	106.6536259
Coefficient of variation (CV)	0.4906629094
Kurtosis	7.191928958
Mean	217.3663912
Median Absolute Deviation (MAD)	54
Skewness	1.819341652
Sum	315616
Variance	11374.99592
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
182	60	4.1%
181	60	4.1%
92	49	3.4%
183	34	2.3%
91	34	2.3%
184	29	2.0%
272	20	1.4%
196	19	1.3%
252	19	1.3%
245	18	1.2%
Other values (340)	1110	76.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	7	0.5%
2	2	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
14	1	0.1%
19	1	0.1%
21	1	0.1%
24	1	0.1%
29	1	0.1%

Value	Count	Frequency (%)
854	1	0.1%
842	1	0.1%
828	1	0.1%
805	1	0.1%
804	1	0.1%
792	1	0.1%
784	1	0.1%
776	1	0.1%
769	1	0.1%
761	1	0.1%

previous
Real number (ℝ_≥0)

Distinct	25
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.335399449

Minimum	1
Maximum	55
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	4
95-th percentile	9
Maximum	55
Range	54
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.580294917
Coefficient of variation (CV)	1.07342313
Kurtosis	61.87745737
Mean	3.335399449
Median Absolute Deviation (MAD)	1
Skewness	5.846377179
Sum	4843
Variance	12.81851169
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
1	406	28.0%
2	379	26.1%
3	230	15.8%
4	144	9.9%
5	80	5.5%
6	55	3.8%
7	41	2.8%
8	31	2.1%
9	20	1.4%
10	19	1.3%
Other values (15)	47	3.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	406	28.0%
2	379	26.1%
3	230	15.8%
4	144	9.9%
5	80	5.5%
6	55	3.8%
7	41	2.8%
8	31	2.1%
9	20	1.4%
10	19	1.3%

Value	Count	Frequency (%)
55	1	0.1%
51	1	0.1%
38	1	0.1%
29	1	0.1%
27	1	0.1%
23	2	0.1%
20	1	0.1%
19	1	0.1%
17	2	0.1%
16	2	0.1%

poutcome
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	90.6 KiB

failure	905
success	411
other	136

Length

Max length	7
Median length	7
Mean length	6.812672176
Min length	5

Characters and Unicode

Total characters	9892
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	failure
2nd row	failure
3rd row	failure
4th row	failure
5th row	failure

Common Values

Value	Count	Frequency (%)
failure	905	62.3%
success	411	28.3%
other	136	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
failure	905	62.3%
success	411	28.3%
other	136	9.4%

Most occurring characters

Value	Count	Frequency (%)
e	1452	14.7%
u	1316	13.3%
s	1233	12.5%
r	1041	10.5%
f	905	9.1%
a	905	9.1%
i	905	9.1%
l	905	9.1%
c	822	8.3%
o	136	1.4%
Other values (2)	272	2.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9892	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1452	14.7%
u	1316	13.3%
s	1233	12.5%
r	1041	10.5%
f	905	9.1%
a	905	9.1%
i	905	9.1%
l	905	9.1%
c	822	8.3%
o	136	1.4%
Other values (2)	272	2.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9892	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1452	14.7%
u	1316	13.3%
s	1233	12.5%
r	1041	10.5%
f	905	9.1%
a	905	9.1%
i	905	9.1%
l	905	9.1%
c	822	8.3%
o	136	1.4%
Other values (2)	272	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9892	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1452	14.7%
u	1316	13.3%
s	1233	12.5%
r	1041	10.5%
f	905	9.1%
a	905	9.1%
i	905	9.1%
l	905	9.1%
c	822	8.3%
o	136	1.4%
Other values (2)	272	2.7%

subscribed
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

False	795
True	657

Common Values
Chart

Value	Count	Frequency (%)
False	795	54.8%
True	657	45.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	previous	poutcome	subscribed
0	0	32.0	technician	single	tertiary	no	392	yes	no	cellular	1	apr	957	2	131	2	failure	no
1	1	39.0	technician	divorced	secondary	no	688	yes	yes	cellular	1	apr	233	2	133	1	failure	no
2	2	59.0	retired	married	secondary	no	1035	yes	yes	cellular	1	apr	126	2	239	1	failure	no
3	3	47.0	blue-collar	married	secondary	no	398	yes	yes	cellular	1	apr	274	1	238	2	failure	no
4	4	54.0	retired	married	secondary	no	1004	yes	no	cellular	1	apr	479	1	307	1	failure	no
5	5	46.0	self-employed	divorced	tertiary	no	926	yes	no	cellular	1	apr	463	1	133	3	failure	no
6	6	34.0	blue-collar	married	secondary	no	1924	yes	yes	cellular	1	apr	161	2	253	1	failure	no
7	7	45.0	services	divorced	secondary	no	396	yes	yes	cellular	1	apr	251	4	329	4	failure	no
8	8	58.0	management	divorced	tertiary	no	315	yes	no	cellular	1	apr	121	2	135	2	failure	no
9	9	49.0	management	divorced	tertiary	no	20727	no	no	cellular	1	apr	285	3	132	2	failure	no

Last rows

	df_index	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	previous	poutcome	subscribed
1442	1956	33.0	management	single	tertiary	no	224	no	no	cellular	23	sep	409	2	92	4	success	yes
1443	1957	59.0	management	married	tertiary	no	5397	no	no	cellular	23	sep	244	1	92	3	success	yes
1444	1958	30.0	self-employed	single	tertiary	no	655	no	no	cellular	23	sep	272	4	184	1	success	yes
1445	1959	40.0	management	single	tertiary	no	3840	yes	no	cellular	24	sep	232	2	409	2	success	yes
1446	1960	49.0	management	married	tertiary	no	1167	yes	yes	cellular	24	sep	249	1	91	14	success	yes
1447	1961	55.0	services	divorced	secondary	no	0	no	no	cellular	27	sep	262	6	193	4	success	yes
1448	1962	38.0	services	married	secondary	no	2678	no	no	cellular	28	sep	282	2	187	1	success	yes
1449	1963	48.0	management	single	tertiary	no	334	yes	no	cellular	28	sep	600	2	92	12	success	yes
1450	1964	61.0	retired	married	secondary	no	11	no	no	cellular	29	sep	232	1	92	3	success	yes
1451	1965	28.0	management	single	tertiary	no	390	no	no	cellular	29	sep	845	1	232	4	success	yes

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block